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Showing 1 to 4 of 4 for “"Shallow-Learning"”.

  1. ASSET PRICING OPTIMIZATION THROUGH GENERATIVE ADVERSARIAL NETWORKS

    … Networks (GAN). We have demonstrated that shallow learning can deliver similar performance for test data as compared to deep learning considered in the literature, with the added benefit of mitigating common challenges such as overfitting. This is an important finding, as it challenges the …

    nus Repository record for ASSET PRICING OPTIMIZATION THROUGH GENERATIVE ADVERSARIAL NETWORKS (opens in a new tab)

  2. Defining a formal model of edutainment that enhances the learning of cyber security subjects by higher education students

    … process, a so-called technology-fix, since learning is essentially a human experience, with teaching a predominantly human to human experience, it is argued that a psychology-of-learning-fix of some kind might be more useful. The resultant model of edutainment created herein was derived from …

    greenwich Repository record for Defining a formal model of edutainment that enhances the learning of cyber security subjects by higher education students (opens in a new tab)

  3. Evaluation of the development and application of multimedia computer assisted learning in Higher Education.

    … the evaluation of multimedia computer assisted learning in higher education. The thesis is presented in two parts. The first part consists mainly of a literature based review of the rationale and methods employed in the development of multimedia CAL systems focusing on the ability of such …

    rgu Repository record for Evaluation of the development and application of multimedia computer assisted learning in Higher Education. (opens in a new tab)

  4. Applied Machine Learning for Electrocatalysis

    … conversion reactions. First, supervised machine learning models are applied to identify kinetic trends in the nitrogen reduction reaction. Next, a novel computer vision pipeline is introduced to extract electrochemical parameters from cyclic voltammograms, enabling faster, automated analysis of …

    ku Repository record for Applied Machine Learning for Electrocatalysis (opens in a new tab)